Novel Looped-Catheter-Based 2D-3D Registration Algorithm for MR, 3DRx and X-Ray Images: Validation Study in an Ex-vivo Heart

  • Michael V. N. Truong
  • Alison Liu
  • R. James Housden
  • Graeme P. Penney
  • Mihaela Pop
  • Kawal S. Rhode
Conference paper

DOI: 10.1007/978-3-319-52718-5_17

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10124)
Cite this paper as:
Truong M.V.N., Liu A., Housden R.J., Penney G.P., Pop M., Rhode K.S. (2017) Novel Looped-Catheter-Based 2D-3D Registration Algorithm for MR, 3DRx and X-Ray Images: Validation Study in an Ex-vivo Heart. In: Mansi T., McLeod K., Pop M., Rhode K., Sermesant M., Young A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2016. Lecture Notes in Computer Science, vol 10124. Springer, Cham

Abstract

In this paper, a novel 2D-3D cardiac image registration algorithm is proposed for application in X-ray-guided catheterisation procedures, and relies on a common technique of inserting a catheter and then looping it inside a chamber of the heart for visual reference. Registration starts with the isocentre-supine constraint and then iteratively refined by maximising a feature-based area metric using an inserted catheter loop and the segmented cardiac border from one or more X-ray views. Maximisation is done in two stages: first correcting for translational motion, and then simultaneously correcting for rotations and translations. The two-staged approach is demonstrated to be more accurate than a similar single-staged approach in an explanted porcine heart. In this experiment, accuracy was demonstrated to be within the 5-mm clinical requirement. On average, the algorithm could register images with a mean target registration error (TRE) of 4.6-mm when using two X-rays (biplane), and a mean reprojection distance (RPD) of 1.9 mm using a single view (monoplane).

Keywords

2D-3D registration Cardiac image registration Image-guided procedures MR 3DRx X-ray fluoroscopy Biplane X-ray 

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Michael V. N. Truong
    • 1
    • 2
  • Alison Liu
    • 1
  • R. James Housden
    • 1
  • Graeme P. Penney
    • 1
  • Mihaela Pop
    • 2
    • 3
  • Kawal S. Rhode
    • 1
  1. 1.Imaging Sciences and Biomedical EngineeringKing’s College LondonLondonEngland, UK
  2. 2.Physical Sciences, Sunnybrook Research InstituteSunnybrook Health Sciences CentreTorontoCanada
  3. 3.Department of Medical BiophysicsUniversity of TorontoTorontoCanada

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